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Filip Barac applies machine learning engineering expertise at Google, building on previous AI development roles at Meta and NVIDIA. His work focuses on advancing neural network architectures, predictive modeling systems, and machine learning applications for enterprise-scale deployment. The technical foundations from his engineering background inform his approach to both AI implementation and cross-disciplinary knowledge sharing. Through his dedicated teaching platform, Barac provides ESL/EFL educators with research-based instructional methodologies, classroom management frameworks, and digital learning tools. His educational content synthesizes practical pedagogy, technology integration strategies, and professional development resources for language teachers. The platform serves as a hub for connecting teaching professionals with vetted materials, lesson planning guides, and assessment techniques. His design curation work spans interior architecture, spatial planning, and residential aesthetics across multiple content channels. Barac's collections feature minimalist compositions, contemporary furnishings, and integrated living spaces that demonstrate principles of modern design. The curated selections emphasize clean lines, functional layouts, and cohesive material palettes that shape environments for both form and utility.